Danelichen Victor H M, Biudes Marcelo S, Velasque Maísa C S, Machado Nadja G, Gomes Raphael S R, Vourlitis George L, Nogueira José S
Programa de Pós-Graduação em Física Ambiental, Instituto de Física, Universidade Federal de Mato Grosso, Cuiabá, MT, BR.
Biological Sciences Department, California State University, San Marcos, California, US.
An Acad Bras Cienc. 2015 Sep;87(3):1545-64. doi: 10.1590/0001-3765201520140457. Epub 2015 Jul 28.
The acceleration of the anthropogenic activity has increased the atmospheric carbon concentration, which causes changes in regional climate. The Gross Primary Production (GPP) is an important variable in the global carbon cycle studies, since it defines the atmospheric carbon extraction rate from terrestrial ecosystems. The objective of this study was to estimate the GPP of the Amazon-Cerrado Transitional Forest by the Vegetation Photosynthesis Model (VPM) using local meteorological data and remote sensing data from MODIS and Landsat 5 TM reflectance from 2005 to 2008. The GPP was estimated using Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) calculated by MODIS and Landsat 5 TM images. The GPP estimates were compared with measurements in a flux tower by eddy covariance. The GPP measured in the tower was consistent with higher values during the wet season and there was a trend to increase from 2005 to 2008. The GPP estimated by VPM showed the same increasing trend observed in measured GPP and had high correlation and Willmott's coefficient and low error metrics in comparison to measured GPP. These results indicated high potential of the Landsat 5 TM images to estimate the GPP of Amazon-Cerrado Transitional Forest by VPM.
人为活动的加速增加了大气中的碳浓度，这导致区域气候发生变化。总初级生产力（GPP）是全球碳循环研究中的一个重要变量，因为它定义了陆地生态系统从大气中提取碳的速率。本研究的目的是利用植被光合作用模型（VPM），通过2005年至2008年的当地气象数据以及来自MODIS和陆地卫星5号TM的遥感数据，估算亚马逊 - 塞拉多过渡森林的GPP。使用由MODIS和陆地卫星5号TM图像计算得出的归一化植被指数（NDVI）和增强植被指数（EVI）来估算GPP。将GPP估算值与通量塔通过涡度协方差法进行的测量结果进行比较。通量塔测量的GPP在雨季与较高值一致，并且从2005年到2008年有增加的趋势。VPM估算的GPP显示出与测量的GPP相同的增加趋势，并且与测量的GPP相比具有高相关性、威尔莫特系数和低误差指标。这些结果表明陆地卫星5号TM图像具有通过VPM估算亚马逊 - 塞拉多过渡森林GPP的巨大潜力。
